Course of direction per edge.

Analysis

All points.

By hour

General

 df_superhotedges_april16pt %>% 
    merge(y = df_osm_edge_ids , using = way_id) %>% 
    ggplot(aes(x= track, fill = factor(address))) + 
    geom_histogram(binwidth = 45) +
    facet_wrap(~type) +
    scale_x_continuous(breaks = seq(0,400,45))+ 
    ggtitle("Track histogram by type of street") 

dens2 <-df_superhotedges_april16pt %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(address), color=address)) + 
  ggtitle("Track density group by street type(WW)") + 
  xlab("Grades(º)") +
  ylab("Density") +
  facet_wrap(~type)
ggplotly(dens2)  
We recommend that you use the dev version of ggplot2 with `ggplotly()`
Install it with: `devtools::install_github('hadley/ggplot2')`
We recommend that you use the dev version of ggplot2 with `ggplotly()`
Install it with: `devtools::install_github('hadley/ggplot2')`
the condition has length > 1 and only the first element will be usedthe condition has length > 1 and only the first element will be used
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dens_hr2 <- function(index) {  df_superhotedges_april16pt %>% 
  filter( way_id == df_osm_edge_ids[index,1] ) %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(hour(time)), color=factor(hour(time)))) + 
  ggtitle(paste("Track density by edge and hour (WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}
lapply(1:7, FUN = dens_hr2)
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dens_hr4 <- function(index) { df_superhotedges_april16pt %>% 
  filter(way_id == df_osm_edge_ids[index,1]) %>% 
  ggplot(aes(x=time, y = track, color = factor(session_id))) + 
  geom_point() + 
  ggtitle(paste("Tracks",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  geom_hline(aes(yintercept = 90)) + 
  geom_hline(aes(yintercept = 180)) +
  geom_hline(aes(yintercept = 270)) +
  theme(legend.position="none")+ 
  ggtitle(paste("Track points by edge and session(WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("date") +
  ylab("track(º)") 
          
}
lapply(1:7, FUN = dens_hr4)
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dens_hr5 <- function(index) {df_superhotedges_april16pt %>% 
  filter(way_id == df_osm_edge_ids[index,1]) %>% 
  ggplot(aes(x=factor(session_id), y=track, color= factor(segment_id))) +
  geom_boxplot(outlier.shape = NA)+ 
  ggtitle(paste("Tracks",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  geom_hline(aes(yintercept = 90)) + 
  geom_hline(aes(yintercept = 180)) +
  geom_hline(aes(yintercept = 270)) +
  theme(legend.position="none")+ 
  ggtitle(paste("Median of the track by session and segments",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}
lapply(1:7, FUN = dens_hr5)
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With the way

dens_hr3 <- function(index) {  df_superhotedges_april16pt %>% 
  filter( way_id == df_osm_edge_ids[index,1]) %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(course), color=factor(course))) + 
  ggtitle(paste("Track density by edge and course (WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}
lapply(1:7, FUN = dens_hr3)
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longer object length is not a multiple of shorter object lengthlonger object length is not a multiple of shorter object length

---
title: "Pre Analysis top 7 edges: deciding the course."
output: html_notebook
---

# Course of direction per edge.
```{r echo=FALSE}
# Adding course to the top 7 edges. 

 
df_speed_top$course <- 1
intersection <- 41.17755

#Vertical
#Rua Roberto Frias 1 & Eduardo Silva 1
df_speed_top[((df_speed_top$way_id == 37141970 & df_speed_top$lat < intersection) | df_speed_top$way_id == 35145521 ) &
                 (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median )) > 90 &
                    (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median )) < 270,]$course <- 2

#Rua Roberto Frias 2 & Eduardo Silva 2
df_speed_top[((df_speed_top$way_id == 37141970 & df_speed_top$lat > intersection) | df_speed_top$way_id == 316459169) & (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median ) < 90) | (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median ) > 270),]$course <- 2  
               

#Horizontals
#Rua H. Sousa 1 & H. Sousa 2 
df_speed_top[(df_speed_top$way_id == 63192525 | df_speed_top$way_id == 106334851) &   (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median )) < 180,]$course <- 2

#Rua Manuel Silva. 
df_speed_top[df_speed_top$way_id == 35078500  & (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median ) > 180),]$course <- 2

# Rua de Frei 
df_speed_top <- df_speed_top %>% 
  mutate( heading = case_when((way_id == 37141970 | way_id == 35145521) &  course == 2 ~ "S", 
                              (way_id == 37141970 | way_id == 35145521) &  course == 1 ~ "N",
                              (way_id == 37141970.2 | way_id == 316459169) &  course == 2 ~ "N", 
                              (way_id == 37141970.2 | way_id == 316459169) &  course == 1 ~ "S",
                              (way_id == 63192525 | way_id == 106334851) &  course == 2 ~ "E", 
                              (way_id == 63192525 | way_id == 106334851) &  course == 1 ~ "W",
                              way_id == 35078500  &  course == 2 ~ "W", 
                              way_id == 35078500  &  course == 1 ~ "E",
                              way_id == 37141967  &  (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median ) > 180) ~ "W",
                              way_id == 37141967  &  (ave(df_speed_top$track,df_speed_top$session_id , df_speed_top$segment_id, FUN = median ) < 180) ~ "E")) 

```


#Analysis 

### All points. 
```{r echo=FALSE}
tseries_light2 <- function(index) { df_superhotedges_april16pt %>% 
    filter( way_id == df_osm_edge_ids[index,1] ) %>% 
    ggplot(aes(x= time, y= (speed*18)/5)) + 
    geom_point(aes(colour = factor(course)), alpha = 1/10) + 
    ylab("Speed(km/h)") + 
    xlab("Date")+ 
    ggtitle(paste("Time series of speed for way_id:",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " ))}

lapply(1, FUN = tseries_light2)
```

### By hour
```{r echo=FALSE}
df_superhotedges_april16pt %>% 
  group_by(way_id) %>% 
  ggplot(aes(x = hour(time), y= track)) +
  geom_point(aes(colour = course), alpha = 1/100) +
  facet_wrap(~ way_id)
```

## General 

```{r}
 df_superhotedges_april16pt %>% 
    merge(y = df_osm_edge_ids , using = way_id) %>% 
    ggplot(aes(x= track, fill = factor(address))) + 
    geom_histogram(binwidth = 45) +
    facet_wrap(~type) +
    scale_x_continuous(breaks = seq(0,400,45))+ 
    ggtitle("Track histogram by type of street") 

```



```{r echo=FALSE}
df_superhotedges_april16pt %>% 
    merge(y = df_osm_edge_ids , using = way_id) %>% 
    subset(way_id == 35145521) %>% 
    ggplot(aes(x= track)) + 
    geom_histogram(binwidth = 45) +
    facet_wrap(~factor(hour(time))) 
```

```{r}
dens2 <-df_superhotedges_april16pt %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(address), color=address)) + 
  ggtitle("Track density group by street type(WW)") + 
  xlab("Grades(º)") +
  ylab("Density") +
  facet_wrap(~type)

ggplotly(dens2)  
```

```{r echo=FALSE}
dens3 <-df_superhotedges_april16pt %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  scale_y_continuous(c(0,0.1))+
  geom_density(aes(group=factor(type), color=type)) + 
  ggtitle("Track density  by hour (WW)") + 
  xlab("Grades(º)") +
  ylab("") +
  facet_wrap(~hour(time)) 

ggplotly(dens3)  
```

```{r echo=FALSE}
dens_h <-  function(hr) { 

df_superhotedges_april16pt %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  filter(hour(time) == hr, way_id != 316459169) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(address), color=address)) + 
  ggtitle("Density of course grade(WW)") + 
  xlab("Grades(º)") +
  ylab("Density") 

}

lapply(8, FUN = dens_h)
```


```{r}
dens_hr2 <- function(index) {  df_superhotedges_april16pt %>% 
  filter( way_id == df_osm_edge_ids[index,1] ) %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(hour(time)), color=factor(hour(time)))) + 
  ggtitle(paste("Track density by edge and hour (WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}

lapply(1:7, FUN = dens_hr2)
```



```{r}
dens_hr4 <- function(index) { df_superhotedges_april16pt %>% 
  filter(way_id == df_osm_edge_ids[index,1]) %>% 
  ggplot(aes(x=time, y = track, color = factor(session_id))) + 
  geom_point() + 
  ggtitle(paste("Tracks",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  geom_hline(aes(yintercept = 90)) + 
  geom_hline(aes(yintercept = 180)) +
  geom_hline(aes(yintercept = 270)) +
  theme(legend.position="none")+ 
  ggtitle(paste("Track points by edge and session(WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("date") +
  ylab("track(º)") 
          
}

lapply(1:7, FUN = dens_hr4)
```


```{r}
dens_hr5 <- function(index) {df_superhotedges_april16pt %>% 
  filter(way_id == df_osm_edge_ids[index,1]) %>% 
  ggplot(aes(x=factor(session_id), y=track, color= factor(segment_id))) +
  geom_boxplot(outlier.shape = NA)+ 
  ggtitle(paste("Tracks",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  geom_hline(aes(yintercept = 90)) + 
  geom_hline(aes(yintercept = 180)) +
  geom_hline(aes(yintercept = 270)) +
  theme(legend.position="none")+ 
  ggtitle(paste("Median of the track by session and segments",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}

lapply(1:7, FUN = dens_hr5)
```

## With the way

```{r}
dens_hr3 <- function(index) {  df_superhotedges_april16pt %>% 
  filter( way_id == df_osm_edge_ids[index,1]) %>% 
  merge(y = df_osm_edge_ids, using = way_id) %>% 
  ggplot(aes(x= track)) +
  geom_density(aes(group=factor(course), color=factor(course))) + 
  ggtitle(paste("Track density by edge and course (WW)",df_osm_edge_ids[index,2],df_osm_edge_ids[index,1], sep = " " )) + 
  xlab("Grades(º)") +
  ylab("Density") 
          
}

lapply(1:7, FUN = dens_hr3)

```

```{r echo=FALSE}
df_superhotedges_april16pt %>% 
  filter(way_id == df_osm_edge_ids[,1] ) %>% 
  ggplot(aes(x= track, fill = factor(course))) + 
    geom_histogram(binwidth = 45) +
  facet_wrap(~hour(time))+
  ggtitle("Tracks by hour and course (WW)")
```


